# Kikyo-16/Sound\_event\_detection

<https://repo.masters-masters.com/en/repos/Kikyo-16/Sound_event_detection>

[Home](https://repo.masters-masters.com/en) › [Kikyo-16](https://repo.masters-masters.com/en/owners/Kikyo-16) › [Sound\_event\_detection](https://repo.masters-masters.com/en/repos/Kikyo-16/Sound_event_detection)

Kikyo-16/Sound\_event\_detection has 129 stars on GitHub. Its RepoMasters card: Prototype tier. This code aims at weakly-labeled semi-supervised sound event…

| Field | Value |
| --- | --- |
| Owner | [Kikyo-16](https://repo.masters-masters.com/en/owners/Kikyo-16) |
| Stars | 129 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Kikyo-16/Sound\_event\_detection](https://github.com/Kikyo-16/Sound_event_detection) |

## Repository

This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
